Cover Image

ART-VITON: Measurement-Guided Latent Diffusion for Artifact-Free Virtual Try-On

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Park, Junseo, Jang, Hyeryung
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

I2AM: Interpreting Image-to-Image Latent Diffusion Models via Bi-Attribution Maps
by: Park, Junseo, et al.
Published: (2024)

StyleForge: Enhancing Text-to-Image Synthesis for Any Artistic Styles with Dual Binding
by: Park, Junseo, et al.
Published: (2024)

MAST: Mask-Guided Attention Mass Allocation for Training-Free Multi-Style Transfer
by: Kang, Dongkyung, et al.
Published: (2026)

PQCAD-DM: Progressive Quantization and Calibration-Assisted Distillation for Extremely Efficient Diffusion Model
by: Ko, Beomseok, et al.
Published: (2025)

TED-VITON: Transformer-Empowered Diffusion Models for Virtual Try-On
by: Wan, Zhenchen, et al.
Published: (2024)

MF-VITON: High-Fidelity Mask-Free Virtual Try-On with Minimal Input
by: Wan, Zhenchen, et al.
Published: (2025)

EfficientVITON: An Efficient Virtual Try-On Model using Optimized Diffusion Process
by: Atef, Mostafa, et al.
Published: (2025)

SwiftTry: Fast and Consistent Video Virtual Try-On with Diffusion Models
by: Nguyen, Hung, et al.
Published: (2024)

Rethinking Garment Conditioning in Diffusion-based Virtual Try-On
by: Na, Kihyun, et al.
Published: (2025)

DiT-VTON: Diffusion Transformer Framework for Unified Multi-Category Virtual Try-On and Virtual Try-All with Integrated Image Editing
by: Li, Qi, et al.
Published: (2025)

ACDG-VTON: Accurate and Contained Diffusion Generation for Virtual Try-On
by: Zhang, Jeffrey, et al.
Published: (2024)

Texture-Preserving Diffusion Models for High-Fidelity Virtual Try-On
by: Yang, Xu, et al.
Published: (2024)

VITON-DRR: Details Retention Virtual Try-on via Non-rigid Registration
by: Li, Ben, et al.
Published: (2025)

TryOffDiff: Virtual-Try-Off via High-Fidelity Garment Reconstruction using Diffusion Models
by: Velioglu, Riza, et al.
Published: (2024)

HistoART: Histopathology Artifact Detection and Reporting Tool
by: Kahaki, Seyed, et al.
Published: (2025)

HYB-VITON: A Hybrid Approach to Virtual Try-On Combining Explicit and Implicit Warping
by: Takemoto, Kosuke, et al.
Published: (2025)

PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask
by: Kim, Jeongho, et al.
Published: (2024)

Voost: A Unified and Scalable Diffusion Transformer for Bidirectional Virtual Try-On and Try-Off
by: Lee, Seungyong, et al.
Published: (2025)

Latent Feature-Guided Diffusion Models for Shadow Removal
by: Mei, Kangfu, et al.
Published: (2023)

Refining Visual Artifacts in Diffusion Models via Explainable AI-based Flaw Activation Maps
by: Lee, Seoyeon, et al.
Published: (2025)

InstructVTON: Optimal Auto-Masking and Natural-Language-Guided Interactive Style Control for Inpainting-Based Virtual Try-On
by: Han, Julien, et al.
Published: (2025)

See and Fix the Flaws: Enabling VLMs and Diffusion Models to Comprehend Visual Artifacts via Agentic Data Synthesis
by: Park, Jaehyun, et al.
Published: (2026)

MGT: Extending Virtual Try-Off to Multi-Garment Scenarios
by: Velioglu, Riza, et al.
Published: (2025)

Watermarking for Factuality: Guiding Vision-Language Models Toward Truth via Tri-layer Contrastive Decoding
by: Back, Kyungryul, et al.
Published: (2025)

DGAE: Diffusion-Guided Autoencoder for Efficient Latent Representation Learning
by: Liu, Dongxu, et al.
Published: (2025)

StereoDiffusion: Training-Free Stereo Image Generation Using Latent Diffusion Models
by: Wang, Lezhong, et al.
Published: (2024)

Diffusion Fuzzy System: Fuzzy Rule Guided Latent Multi-Path Diffusion Modeling
by: Yang, Hailong, et al.
Published: (2025)

Beyond Surface Artifacts: Capturing Shared Latent Forgery Knowledge Across Modalities
by: Dou, Jingtong, et al.
Published: (2026)

Contrastive Learning Guided Latent Diffusion Model for Image-to-Image Translation
by: Si, Qi, et al.
Published: (2025)

VITON-DiT: Learning In-the-Wild Video Try-On from Human Dance Videos via Diffusion Transformers
by: Zheng, Jun, et al.
Published: (2024)

Diffusion Autoencoder for Unsupervised Artifact Restoration in Handheld Fundus Images
by: Palani, Mathumetha, et al.
Published: (2026)

PEMF-VTO: Point-Enhanced Video Virtual Try-on via Mask-free Paradigm
by: Chang, Tianyu, et al.
Published: (2024)

BridgeDiff: Bridging Human Observations and Flat-Garment Synthesis for Virtual Try-Off
by: Liu, Shuang, et al.
Published: (2026)

DH-VTON: Deep Text-Driven Virtual Try-On via Hybrid Attention Learning
by: Wei, Jiabao, et al.
Published: (2024)

Self-Cascaded Diffusion Models for Arbitrary-Scale Image Super-Resolution
by: Bang, Junseo, et al.
Published: (2025)

When Rubrics Fail: Error Enumeration as Reward in Reference-Free RL Post-Training for Virtual Try-On
by: Ikezogwo, Wisdom, et al.
Published: (2026)

Debiasing Classifiers by Amplifying Bias with Latent Diffusion and Large Language Models
by: Ko, Donggeun, et al.
Published: (2024)

DiffSketcher: Text Guided Vector Sketch Synthesis through Latent Diffusion Models
by: Xing, Ximing, et al.
Published: (2023)

LDEdit: Towards Generalized Text Guided Image Manipulation via Latent Diffusion Models
by: Chandramouli, Paramanand, et al.
Published: (2022)

FLUID: Training-Free Face De-identification via Latent Identity Substitution
by: Park, Jinhyeong, et al.
Published: (2025)